A model utilizing computerized feedback to improve physician prescribing was studied in a family medicine residency practice. The frequency of generic prescribing was monitored for two sets of commonly used drugs: 21 “feedback” drugs and 13 “silent” drugs. After a four-month baseline period, the residents and faculty physicians were randomized into two groups. The experimental group received nine monthly printouts identifying “feedback” drugs they had prescribed by brand name with estimates of cost savings that might have been realized by generic prescribing. The control group received no feedback. Neither group received feedback regarding the “silent” drugs. Between the baseline and feedback periods, the increase in generic prescribing by experimental physicians was significantly greater than for control physicians for the “feedback” drugs as well as for the “silent drugs, indicating that the physicians generalized the message to prescribe generically.